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In 2014, a machine-Understanding architecture generally known as a generative adversarial network (GAN) was proposed by scientists within the College of Montreal. GANs use two versions that work in tandem: Just one learns to crank out a target output (like an image) and the other learns to discriminate real https://pdfanalysistool56540.frewwebs.com/36340049/top-guidelines-of-best-pdf-summarizer-app

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